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Artificial Intelligence

PUBLISHER: MarketsandMarkets | PRODUCT CODE: 1660045

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PUBLISHER: MarketsandMarkets | PRODUCT CODE: 1660045

AI for Customer Service Market by Product Type (AI Agents, Recommendation Systems, Workflow Automation, Content Generation, Customer Journey Analytics, Service Quality Management) - Global Forecast to 2030

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Description

Table of Contents

List of Tables

The AI for customer service market is projected to grow from USD 12.06 billion in 2024 to USD 47.82 billion by 2030, at a compound annual growth rate (CAGR) of 25.8% during the forecast period. AI-powered chatbots and virtual assistants are transforming customer service by providing efficient, personalized support. These technologies enable businesses to engage customers 24/7, offering instant responses to inquiries, which significantly reduces wait times and enhances satisfaction. Chatbots can handle multiple conversations simultaneously, allowing for scalability during peak periods without compromising service quality. Additionally, they utilize advanced algorithms to analyze customer data, enabling tailored recommendations and contextual interactions that foster deeper connections. This personalization not only improves user experience but also drives customer loyalty. As companies increasingly adopt these AI solutions, chatbots are becoming essential tools in modern customer engagement strategies, streamlining operations and enhancing overall service quality.

Scope of the Report
Years Considered for the Study2019-2030
Base Year2023
Forecast Period2024-2030
Units Considered(USD million/billion)
SegmentsBy Product, Technology, Customer Interaction Channel, and End user.
Regions coveredNorth America, Europe, Asia Pacific, Middle East & Africa, Latin America

"By end user, healthcare & life sciences segment will lead the market during the forecast period."

Healthcare and life sciences are increasingly leading the customer service market through innovative engagement strategies. Hybrid engagement models are emerging, combining personalized interactions with digital channels to enhance customer experiences. Companies are leveraging AI technologies for tailored communications, self-service analytics, and intelligent patient services, fostering a more responsive environment. The shift towards digital transformation has made telemedicine and virtual visits commonplace, allowing patients to interact conveniently with healthcare providers. Additionally, organizations are focusing on personalized insights and customized care journeys, ensuring that patient needs are met effectively. This evolution not only improves service delivery but also enhances overall patient satisfaction and loyalty in a rapidly changing landscape.

"By region, Asia Pacific to register the highest CAGR market during the forecast period." Asia Pacific is leading the AI-powered customer service market due to the region's rapid adoption of technology, large consumer bases, and increasing demand for enhanced customer experiences. The rise of e-commerce, mobile services, and digital transformation initiatives across various industries, particularly in retail, banking, and telecommunications, has driven the need for more efficient and personalized customer interactions. India and China are the top countries driving this trend. In India, the focus is on improving service delivery and reducing costs, while in China, AI is being integrated into smart customer service solutions, including voice assistants and chatbots, to serve millions of customers. These innovations enhance customer satisfaction, streamline operations, and meet the growing expectations of both consumers and businesses.

Breakdown of primaries

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the AI for customer service market.

  • By Company: Tier I: 45%, Tier II: 35%, and Tier III: 20%
  • By Designation: C-Level: 40%, Director Level: 35%, and Others: 25%
  • By Region: North America: 30%, Europe: 20%, Asia Pacific: 35%, Middle East & Africa: 10%, and Latin America: 5%.

Microsoft (US), IBM (US), Google (US), AWS (US), Salesforce (US), Atlassian (Australia), ServiceNow (US), SAP (Germany), Zendesk (US); are some of the key players in the AI for customer service market.

The study includes an in-depth competitive analysis of these key players in the AI for customer service market, including their company profiles, recent developments, and key market strategies.

Research Coverage

This research report categorizes the AI for customer service market by product type (chatbots and virtual assistants, AI-driven ticketing systems, sentiment and feedback analysis tools, recommendation systems, visual and diagnostic tools, workflow automation, content management, AI agents), by deployment mode (cloud and on-premises), by customer service delivery mode (self-service, agent augmented backend operations automation), by functional area (pre-sales and post-sales), by technology (generative AI and other AI), by customer interaction channel (text and email, voice, video/visual, and omnichannel), by end user (media & entertainment, telecommunications, government & public sector, healthcare & life sciences, manufacturing, retail & ecommerce, technology & software, travel & hospitality, transportation & logistics). The scope of the report covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the AI for customer service market. A detailed analysis of the key industry players has been done to provide insights into their business overview, solutions and services, key strategies, Contracts, partnerships, and agreements. new product & service launches, mergers and acquisitions, and recent developments associated with the AI for customer service market. Competitive analysis of upcoming startups in the AI for customer service market ecosystem is covered in this report.

Key Benefits of Buying the Report

The report will help the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall AI for customer service market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and to plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

  • Analysis of key drivers (Improved customer engagement with omni-channel self-service options, and enhancing efficiency and satisfaction with intelligent routing), restraints (Mitigating deepfake threats in customer service), opportunities (augmenting customer service efficiency with Gen AI solutions, empowering proactive customer service with ai solutions), and challenges (threat of job displacements in customer service)
  • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI for customer service market
  • Market Development: Comprehensive information about lucrative markets - the report analyses the AI for customer service market across varied regions.
  • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI for customer service market
  • Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players Microsoft (US), IBM (US), Google (US), Oracle (US), AWS (US), Salesforce (US), Atlassian (Australia), ServiceNow (US), SAP (Germany), Zendesk (US), Sprinklr (US), OpenAI (US), Aisera (US), UiPath (US), HubSpot (US), NICE (Israel), Intercom (US), Qualtrics (US) among others in AI for customer service market.
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Product Code: TC 9313

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
    • 1.2.1 INCLUSIONS & EXCLUSIONS
  • 1.3 MARKET SCOPE
    • 1.3.1 MARKET SEGMENTATION & REGIONS COVERED
    • 1.3.2 YEARS CONSIDERED
  • 1.4 CURRENCY CONSIDERED
  • 1.5 STAKEHOLDERS

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • 2.1.1 SECONDARY DATA
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Breakup of primary profiles
      • 2.1.2.2 Key industry insights
  • 2.2 DATA TRIANGULATION
  • 2.3 MARKET SIZE ESTIMATION
    • 2.3.1 TOP-DOWN APPROACH
    • 2.3.2 BOTTOM-UP APPROACH
  • 2.4 MARKET FORECAST
  • 2.5 RESEARCH ASSUMPTIONS
  • 2.6 RISK ASSESSMENT
  • 2.7 RESEARCH LIMITATIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI FOR CUSTOMER SERVICE MARKET
  • 4.2 AI FOR CUSTOMER SERVICE MARKET: TOP THREE CUSTOMER SERVICE DELIVERY MODES
  • 4.3 NORTH AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY DEPLOYMENT MODE AND FUNCTIONAL AREA
  • 4.4 AI FOR CUSTOMER SERVICE MARKET: BY REGION

5 MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • 5.2.1 DRIVERS
      • 5.2.1.1 Improved customer engagement with omni-channel self-service options
      • 5.2.1.2 Maximizing agent efficiency through AI integration
      • 5.2.1.3 Enhancing efficiency and satisfaction with intelligent routing
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Mitigating deepfake threats in customer service
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Transforming customer service with generative AI innovations
      • 5.2.3.2 Empowering proactive customer service with AI solutions
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Threats of job displacements in customer service
  • 5.3 INDUSTRY TRENDS
    • 5.3.1 EVOLUTION OF AI FOR CUSTOMER SERVICE MARKET
    • 5.3.2 CASE STUDY ANALYSIS
      • 5.3.2.1 Smokeball enhanced efficiency and satisfaction with BrainFish AI help center
      • 5.3.2.2 Philip Morris enhances customer engagement with Tovie AI's Mark Chatbot
      • 5.3.2.3 Qapital achieves 24/7 service and automation with Ada's AI solution
      • 5.3.2.4 Gorgias helped Everyday Dose streamline customer support to manage high ticket volumes
      • 5.3.2.5 RingCentral unified Corteva's communication for global collaboration success
      • 5.3.2.6 Jardim Exotico enhances customer support with Tovie AI's chatbot solution
      • 5.3.2.7 Orange Spain streamlines operations with UiPath's RPA solution
    • 5.3.3 ECOSYSTEM ANALYSIS
      • 5.3.3.1 Chatbots and virtual assistant providers
        • 5.3.3.1.1 Rule-based chatbots
        • 5.3.3.1.2 Conversational bots
        • 5.3.3.1.3 Voice assistants
      • 5.3.3.2 AI-driven ticketing system providers
        • 5.3.3.2.1 Automated ticket routing
        • 5.3.3.2.2 Self-service portals
        • 5.3.3.2.3 Case resolution assistant
      • 5.3.3.3 Sentiment and feedback analysis tools
        • 5.3.3.3.1 Sentiment & emotion detection
        • 5.3.3.3.2 Customer feedback
        • 5.3.3.3.3 Social media monitoring
      • 5.3.3.4 Recommendation systems
        • 5.3.3.4.1 Dynamic FAQs
        • 5.3.3.4.2 Knowledge base platforms
      • 5.3.3.5 Visual and diagnostic tools
        • 5.3.3.5.1 Image recognition tools
        • 5.3.3.5.2 Voice-based assistance
      • 5.3.3.6 Workflow automation
        • 5.3.3.6.1 Robotic process automation
        • 5.3.3.6.2 Integrated CRM automation
      • 5.3.3.7 Content management
        • 5.3.3.7.1 Content distribution
        • 5.3.3.7.2 Content generation
        • 5.3.3.7.3 Content moderation
      • 5.3.3.8 AI agents
        • 5.3.3.8.1 Performance analytics
        • 5.3.3.8.2 Conversation intelligence
      • 5.3.3.9 Customer interaction channels
        • 5.3.3.9.1 Text and email
        • 5.3.3.9.2 Voice
        • 5.3.3.9.3 Video/Visual
        • 5.3.3.9.4 Omnichannel
      • 5.3.3.10 End users
    • 5.3.4 TECHNOLOGY ANALYSIS
      • 5.3.4.1 Key technologies
        • 5.3.4.1.1 NLP and deep learning
        • 5.3.4.1.2 Big data analytics
        • 5.3.4.1.3 Generative AI
          • 5.3.4.1.3.1 Rule-based models
          • 5.3.4.1.3.2 Statistical models
          • 5.3.4.1.3.3 Deep learning models
          • 5.3.4.1.3.4 Generative Adversarial Networks (GANs)
          • 5.3.4.1.3.5 Autoencoders
          • 5.3.4.1.3.6 Convolutional Neural Networks (CNNs)
          • 5.3.4.1.3.7 Transformer-based Large Language Models (LLMs)
        • 5.3.4.1.4 AI agent memory
          • 5.3.4.1.4.1 Short-term Memory (STM)
          • 5.3.4.1.4.2 Long-term Memory (LTM) Type 1
          • 5.3.4.1.4.3 Long-term Memory (LTM) Type 2
          • 5.3.4.1.4.4 Long-term Memory (LTM) Type 3
        • 5.3.4.1.5 Robotic Process Automation (RPA)
      • 5.3.4.2 Adjacent technologies
        • 5.3.4.2.1 Cloud computing
        • 5.3.4.2.2 Edge computing
        • 5.3.4.2.3 Internet of Things
        • 5.3.4.2.4 5G and advanced connectivity
      • 5.3.4.3 Complementary technologies
        • 5.3.4.3.1 Cybersecurity
        • 5.3.4.3.2 Augmented Reality (AR) and Virtual Reality (VR)
        • 5.3.4.3.3 Blockchain
    • 5.3.5 REGULATORY LANDSCAPE
      • 5.3.5.1 Regulatory bodies, government agencies, and other organizations
      • 5.3.5.2 Regulatory Framework
        • 5.3.5.2.1 North America
          • 5.3.5.2.1.1 US
          • 5.3.5.2.1.2 Canada
        • 5.3.5.2.2 Europe
          • 5.3.5.2.2.1 Germany
          • 5.3.5.2.2.2 UK
          • 5.3.5.2.2.3 France
        • 5.3.5.2.3 Asia Pacific
          • 5.3.5.2.3.1 Australia
          • 5.3.5.2.3.2 India
          • 5.3.5.2.3.3 China
        • 5.3.5.2.4 Middle East & Africa
          • 5.3.5.2.4.1 UAE
          • 5.3.5.2.4.2 Kenya
          • 5.3.5.2.4.3 Africa
        • 5.3.5.2.5 Latin America
          • 5.3.5.2.5.1 Brazil
          • 5.3.5.2.5.2 Mexico
          • 5.3.5.2.5.3 Argentina
    • 5.3.6 SUPPLY CHAIN ANALYSIS
    • 5.3.7 PORTER'S FIVE FORCES ANALYSIS
      • 5.3.7.1 Threat of new entrants
      • 5.3.7.2 Threat of substitutes
      • 5.3.7.3 Bargaining power of suppliers
      • 5.3.7.4 Bargaining power of buyers
      • 5.3.7.5 Intensity of competitive rivalry
    • 5.3.8 KEY CONFERENCES AND EVENTS (2025-2026)
    • 5.3.9 KEY STAKEHOLDERS AND BUYING CRITERIA
      • 5.3.9.1 Key Stakeholders in Buying Process
      • 5.3.9.2 Buying criteria
    • 5.3.10 PRICING ANALYSIS
      • 5.3.10.1 Indicative pricing analysis, by software type
      • 5.3.10.2 Indicative pricing analysis, by product type
    • 5.3.11 PATENT ANALYSIS
      • 5.3.11.1 Methodology
      • 5.3.11.2 Patents filed, by document type
      • 5.3.11.3 INNOVATIONS AND PATENT APPLICATIONS
    • 5.3.12 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
    • 5.3.13 INVESTMENT LANDSCAPE AND FUNDING SCENARIO
    • 5.3.14 IMPACT OF GENERATIVE AI ON AI FOR CUSTOMER SERVICE MARKET
      • 5.3.14.1 Top use cases & market potential
      • 5.3.14.2 Key use cases
        • 5.3.14.2.1 Enhanced efficiency and productivity
        • 5.3.14.2.2 24/7 availability
        • 5.3.14.2.3 Personalized customer interactions
        • 5.3.14.2.4 Cost reduction
        • 5.3.14.2.5 Proactive customer engagement
        • 5.3.14.2.6 Scalability

6 AI FOR CUSTOMER SERVICE MARKET, BY END USER

  • 6.1 INTRODUCTION
    • 6.1.1 END USER: AI FOR CUSTOMER SERVICE MARKET DRIVERS
  • 6.2 BFSI
    • 6.2.1 ENHANCING BFSI CUSTOMER SERVICE WITH AI-DRIVEN EFFICIENCY AND SECURITY
  • 6.3 MEDIA & ENTERTAINMENT
    • 6.3.1 PERSONALIZING AUDIENCE ENGAGEMENT WITH AI
  • 6.4 TELECOMMUNICATIONS
    • 6.4.1 AUTOMATING CUSTOMER SUPPORT FOR FASTER RESOLUTIONS
  • 6.5 GOVERNMENT & PUBLIC SECTOR
    • 6.5.1 ENHANCING CITIZEN SERVICES WITH AI-DRIVEN ASSISTANCE
  • 6.6 HEALTHCARE & LIFE SCIENCES
    • 6.6.1 TRANSFORMING PATIENT INTERACTIONS WITH AI-POWERED SUPPORT
  • 6.7 MANUFACTURING
    • 6.7.1 STREAMLINING TECHNICAL ASSISTANCE AND SUPPLY CHAIN INQUIRIES
  • 6.8 RETAIL & E-COMMERCE
    • 6.8.1 ELEVATING SHOPPING EXPERIENCES WITH AI-DRIVEN CUSTOMER SERVICE
  • 6.9 TECHNOLOGY & SOFTWARE
    • 6.9.1 OPTIMIZING USER SUPPORT WITH INTELLIGENT AI SOLUTIONS
  • 6.10 TRAVEL & HOSPITALITY
    • 6.10.1 REVOLUTIONIZING GUEST SERVICES WITH AI-POWERED INTERACTIONS
  • 6.11 TRANSPORTATION & LOGISTICS
    • 6.11.1 ENHANCING SHIPMENT TRACKING AND LOGISTICS SUPPORT WITH AI
  • 6.12 OTHER END USERS

7 AI FOR CUSTOMER SERVICE MARKET, BY PRODUCT

  • 7.1 INTRODUCTION
    • 7.1.1 PRODUCT: AI FOR CUSTOMER SERVICE MARKET DRIVERS
  • 7.2 TYPE
    • 7.2.1 CHATBOTS AND VIRTUAL ASSISTANTS
      • 7.2.1.1 Rule-based chatbots
      • 7.2.1.2 AI-powered conversational bots
      • 7.2.1.3 Voice assistants & speech analytics
      • 7.2.1.4 Other chatbots & virtual assistants
    • 7.2.2 AI-DRIVEN TICKETING SYSTEMS
      • 7.2.2.1 Automated ticket routing
      • 7.2.2.2 Self-service portals
      • 7.2.2.3 Case resolution assistance
      • 7.2.2.4 Other AI-driven ticketing systems
    • 7.2.3 SENTIMENT AND FEEDBACK ANALYSIS TOOLS
      • 7.2.3.1 Sentiment & emotion detection
      • 7.2.3.2 Customer feedback
      • 7.2.3.3 Social media monitoring
      • 7.2.3.4 Other sentiment and feedback analysis tools
    • 7.2.4 RECOMMENDATION SYSTEMS
      • 7.2.4.1 Product recommendation systems
      • 7.2.4.2 Dynamic FAQs
      • 7.2.4.3 Knowledge base platforms
      • 7.2.4.4 Other recommendation systems
    • 7.2.5 VISUAL AND DIAGNOSTIC TOOLS
      • 7.2.5.1 Image recognition tools
      • 7.2.5.2 Video-based assistance
      • 7.2.5.3 Other visual and diagnostic tools
    • 7.2.6 WORKFLOW AUTOMATION
      • 7.2.6.1 Robotic Process Automation (RPA)
      • 7.2.6.2 Integrated CRM automation
      • 7.2.6.3 Other workflow automation tools
    • 7.2.7 CONTENT MANAGEMENT
      • 7.2.7.1 Content distribution
      • 7.2.7.2 Content generation
      • 7.2.7.3 Content moderation and filtration
      • 7.2.7.4 Other content management
    • 7.2.8 AI AGENTS
      • 7.2.8.1 Performance analytics
      • 7.2.8.2 Conversation intelligence
      • 7.2.8.3 Behavior analytics & engagement
      • 7.2.8.4 Other AI agents
    • 7.2.9 OTHER PRODUCT TYPES
  • 7.3 BY DEPLOYMENT MODE
    • 7.3.1 CLOUD
      • 7.3.1.1 Flexibility, cost-effectiveness, and rapid deployment to drive market
    • 7.3.2 ON-PREMISES
      • 7.3.2.1 Secure and customized on-premises AI to drive market
  • 7.4 BY CUSTOMER SERVICE DELIVERY MODE
    • 7.4.1 SELF-SERVICE
      • 7.4.1.1 Reduced wait times and operational costs to drive market
    • 7.4.2 AGENT AUGMENTED
      • 7.4.2.1 Elevating customer service with AI-powered augmented agents
    • 7.4.3 BACKEND OPERATIONS AUTOMATION
      • 7.4.3.1 Streamlined and optimized service operations to drive market
  • 7.5 BY FUNCTIONAL AREA
    • 7.5.1 PRE-SALES
      • 7.5.1.1 Tailored solutions for improved customer experiences to drive market
    • 7.5.2 POST-SALES
      • 7.5.2.1 Increased customer satisfaction and support with AI solutions to drive market

8 AI FOR CUSTOMER SERVICE MARKET, BY TECHNOLOGY

  • 8.1 INTRODUCTION
    • 8.1.1 GENERATIVE AI
      • 8.1.1.1 Empower dynamic and context-aware interactions with generative AI
    • 8.1.2 OTHER AI
      • 8.1.2.1 Enhancing customer service: Power of AI technologies

9 AI FOR CUSTOMER SERVICE MARKET, BY CUSTOMER INTERACTION CHANNEL

  • 9.1 INTRODUCTION
  • 9.2 TEXT AND EMAIL
    • 9.2.1 MAXIMIZED ENGAGEMENT WITH ASYNCHRONOUS COMMUNICATION TO DRIVE MARKET
  • 9.3 VOICE
    • 9.3.1 INCREASED INTEGRATION OF VOICE WITH DIGITAL TOOLS TO DRIVE MARKET
  • 9.4 VIDEO/VISUAL
    • 9.4.1 ENHANCED CUSTOMER ENGAGEMENT THROUGH VIDEO INTERACTIONS TO DRIVE MARKET
  • 9.5 OMNICHANNEL
    • 9.5.1 INTEGRATION OF DATA ACROSS CHANNELS FOR ENHANCED PERSONALIZATION TO DRIVE MARKET

10 AI FOR CUSTOMER SERVICE MARKET, BY REGION

  • 10.1 INTRODUCTION
  • 10.2 NORTH AMERICA
    • 10.2.1 NORTH AMERICA: AI FOR CUSTOMER SERVICE MARKET DRIVERS
    • 10.2.2 NORTH AMERICA: MACROECONOMIC IMPACT
    • 10.2.3 US
      • 10.2.3.1 Rise in need to enhance customer experience using AI-powered chatbots and virtual assistants to drive market
    • 10.2.4 CANADA
      • 10.2.4.1 Innovations in ethical AI to enhance AI-enabled customer support and drive market
  • 10.3 EUROPE
    • 10.3.1 EUROPE: AI FOR CUSTOMER SERVICE MARKET DRIVERS
    • 10.3.2 EUROPE: MACROECONOMIC IMPACT
    • 10.3.3 UK
      • 10.3.3.1 Enhancing customer engagement with ethical AI to drive market
    • 10.3.4 GERMANY
      • 10.3.4.1 Advancing AI-powered customer service to drive market
    • 10.3.5 FRANCE
      • 10.3.5.1 Advancing ethical AI solutions for customer service to drive market
    • 10.3.6 ITALY
      • 10.3.6.1 Empowering SMEs and strengthening data privacy to drive market
    • 10.3.7 SPAIN
      • 10.3.7.1 Oracle's USD 1 billion cloud investment to drive AI growth
    • 10.3.8 REST OF EUROPE
  • 10.4 ASIA PACIFIC
    • 10.4.1 ASIA PACIFIC: AI FOR CUSTOMER SERVICE MARKET DRIVERS
    • 10.4.2 ASIA PACIFIC: MACROECONOMIC IMPACT
    • 10.4.3 CHINA
      • 10.4.3.1 Implementation of regulatory approval for generative AI applications to drive market
    • 10.4.4 JAPAN
      • 10.4.4.1 Regulatory efforts and partnerships to drive AI for customer service
    • 10.4.5 INDIA
      • 10.4.5.1 Adoption of AI-driven solutions for personalized customer service to drive market
    • 10.4.6 SOUTH KOREA
      • 10.4.6.1 Increased AI integration for personalized customer support to drive market
    • 10.4.7 AUSTRALIA & NEW ZEALAND
      • 10.4.7.1 AI revolution in Australia & New Zealand to drive market
    • 10.4.8 ASEAN COUNTRIES
      • 10.4.8.1 Governments strengthening digital infrastructure for AI innovation to drive market
    • 10.4.9 REST OF ASIA PACIFIC
  • 10.5 MIDDLE EAST & AFRICA
    • 10.5.1 MIDDLE EAST & AFRICA: AI FOR CUSTOMER SERVICE MARKET DRIVERS
    • 10.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC IMPACT
    • 10.5.3 MIDDLE EAST
      • 10.5.3.1 KSA
        • 10.5.3.1.1 Saudi Arabia's Vision 2030 for enhancing AI-driven customer engagement to drive market
      • 10.5.3.2 UAE
        • 10.5.3.2.1 UAE's digital transformation fuels AI-driven customer service innovation
      • 10.5.3.3 Bahrain
        • 10.5.3.3.1 Bahrain's regulatory sandbox drives AI innovation in customer service
      • 10.5.3.4 Kuwait
        • 10.5.3.4.1 SAP empowering Kuwaiti organizations by embedding AI into business applications for better operational efficiency
      • 10.5.3.5 Rest of Middle East
    • 10.5.4 AFRICA
  • 10.6 LATIN AMERICA
    • 10.6.1 LATIN AMERICA: AI FOR CUSTOMER SERVICE MARKET DRIVERS
    • 10.6.2 LATIN AMERICA: MACROECONOMIC IMPACT
    • 10.6.3 BRAZIL
      • 10.6.3.1 Increased customer service innovation with AI-powered chatbots to drive market
    • 10.6.4 MEXICO
      • 10.6.4.1 Mexico leverages AI for customer service through key partnerships and innovations
    • 10.6.5 ARGENTINA
      • 10.6.5.1 Strategic partnerships and investment incentives to drive AI growth
    • 10.6.6 REST OF LATIN AMERICA

11 COMPETITIVE LANDSCAPE

  • 11.1 OVERVIEW
  • 11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2020-2024
  • 11.3 REVENUE ANALYSIS, 2019-2023
  • 11.4 MARKET SHARE ANALYSIS, 2023
    • 11.4.1 MARKET SHARE ANALYSIS OF KEY PLAYERS
    • 11.4.2 MARKET RANKING ANALYSIS
  • 11.5 PRODUCT COMPARATIVE ANALYSIS, BY PRODUCT TYPE
    • 11.5.1 PRODUCT COMPARATIVE ANALYSIS, BY CHATBOTS AND VIRTUAL ASSISTANTS
      • 11.5.1.1 Google Dialogflow
      • 11.5.1.2 IBM Watson Assistant
      • 11.5.1.3 XO Automation (Kore.ai)
    • 11.5.2 PRODUCT COMPARATIVE ANALYSIS, BY AI-DRIVEN TICKETING SYSTEMS
      • 11.5.2.1 Freedy AI (Freshdesk)
      • 11.5.2.2 AI bot (Zendesk)
      • 11.5.2.3 Zia AI (Zoho)
    • 11.5.3 PRODUCT COMPARATIVE ANALYSIS, BY RECOMMENDATION SYSTEMS
      • 11.5.3.1 Amazon Personalize (AWS)
      • 11.5.3.2 Product Recommendation Engines (Salesforce)
      • 11.5.3.3 Dynamic Yield
  • 11.6 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
  • 11.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    • 11.7.1 STARS
    • 11.7.2 EMERGING LEADERS
    • 11.7.3 PERVASIVE PLAYERS
    • 11.7.4 PARTICIPANTS
    • 11.7.5 COMPANY FOOTPRINT: KEY PLAYERS
      • 11.7.5.1 Company footprint
      • 11.7.5.2 Region footprint
      • 11.7.5.3 Product type footprint
      • 11.7.5.4 Customer interaction channel footprint
      • 11.7.5.5 End user footprint
  • 11.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
    • 11.8.1 PROGRESSIVE COMPANIES
    • 11.8.2 RESPONSIVE COMPANIES
    • 11.8.3 DYNAMIC COMPANIES
    • 11.8.4 STARTING BLOCKS
    • 11.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
      • 11.8.5.1 Detailed list of key startups/SMEs
      • 11.8.5.2 Competitive benchmarking of key startups/SMEs
  • 11.9 COMPETITIVE SCENARIO
    • 11.9.1 PRODUCT LAUNCHES & ENHANCEMENTS
    • 11.9.2 DEALS

12 COMPANY PROFILES

  • 12.1 INTRODUCTION
  • 12.2 KEY PLAYERS
    • 12.2.1 MICROSOFT
      • 12.2.1.1 Business overview
      • 12.2.1.2 Products/Solutions/Services offered
      • 12.2.1.3 Recent developments
        • 12.2.1.3.1 Product launches and enhancements
        • 12.2.1.3.2 Deals
      • 12.2.1.4 MnM view
        • 12.2.1.4.1 Key strengths
        • 12.2.1.4.2 Strategic choices
        • 12.2.1.4.3 Weaknesses and competitive threats
    • 12.2.2 IBM
      • 12.2.2.1 Business overview
      • 12.2.2.2 Products/Solutions/Services offered
      • 12.2.2.3 Recent developments
        • 12.2.2.3.1 Product launches and enhancements
        • 12.2.2.3.2 Deals
      • 12.2.2.4 MnM view
        • 12.2.2.4.1 Key strengths
        • 12.2.2.4.2 Strategic choices
        • 12.2.2.4.3 Weaknesses and competitive threats
    • 12.2.3 GOOGLE
      • 12.2.3.1 Business overview
      • 12.2.3.2 Products/Solutions/Services offered
      • 12.2.3.3 Recent developments
        • 12.2.3.3.1 Product launches and enhancements
        • 12.2.3.3.2 Deals
      • 12.2.3.4 MnM view
        • 12.2.3.4.1 Key strengths
        • 12.2.3.4.2 Strategic choices
        • 12.2.3.4.3 Weaknesses and competitive threats
    • 12.2.4 AWS
      • 12.2.4.1 Business overview
      • 12.2.4.2 Products/Solutions/Services offered
      • 12.2.4.3 Recent developments
        • 12.2.4.3.1 Product launches and enhancements
        • 12.2.4.3.2 Deals
      • 12.2.4.4 MnM view
        • 12.2.4.4.1 Key strengths
        • 12.2.4.4.2 Strategic choices
        • 12.2.4.4.3 Weaknesses and competitive threats
    • 12.2.5 SALESFORCE
      • 12.2.5.1 Business overview
      • 12.2.5.2 Products/Solutions/Services offered
      • 12.2.5.3 Recent developments
        • 12.2.5.3.1 Product launches and enhancements
      • 12.2.5.4 MnM view
        • 12.2.5.4.1 Key strengths
        • 12.2.5.4.2 Strategic choices
        • 12.2.5.4.3 Weaknesses and competitive threats
    • 12.2.6 ATLASSIAN
      • 12.2.6.1 Business overview
      • 12.2.6.2 Products/Solutions/Services offered
      • 12.2.6.3 Recent developments
        • 12.2.6.3.1 Product launches and enhancements
    • 12.2.7 SERVICENOW
      • 12.2.7.1 Business overview
      • 12.2.7.2 Products/Solutions/Services offered
      • 12.2.7.3 Recent developments
        • 12.2.7.3.1 Product launches and enhancements
    • 12.2.8 ZENDESK
      • 12.2.8.1 Business overview
      • 12.2.8.2 Products/Solutions/Services offered
      • 12.2.8.3 Recent developments
        • 12.2.8.3.1 Product launches and enhancements
        • 12.2.8.3.2 Deals
    • 12.2.9 SAP
      • 12.2.9.1 Business overview
      • 12.2.9.2 Products/Solutions/Services offered
      • 12.2.9.3 Recent developments
        • 12.2.9.3.1 Deals
    • 12.2.10 SPRINKLR
      • 12.2.10.1 Business overview
      • 12.2.10.2 Products/Solutions/Services offered
      • 12.2.10.3 Recent developments
        • 12.2.10.3.1 Deals
    • 12.2.11 OPENAI
      • 12.2.11.1 Business overview
      • 12.2.11.2 Products/Solutions/Services offered
      • 12.2.11.3 Recent developments
        • 12.2.11.3.1 Product Launches and Enhancements
        • 12.2.11.3.2 Deals
    • 12.2.12 AISERA
    • 12.2.13 UIPATH
    • 12.2.14 HUBSPOT
    • 12.2.15 NICE
    • 12.2.16 INTERCOM
    • 12.2.17 QUALTRICS
    • 12.2.18 FRESHWORKS
    • 12.2.19 LIVEPERSON
    • 12.2.20 HELPSHIFT
    • 12.2.21 YELLOW.AI
    • 12.2.22 COGITO
    • 12.2.23 SMARTACTION
    • 12.2.24 TALKDESK
    • 12.2.25 FIVE9
    • 12.2.26 RINGCENTRAL
    • 12.2.27 NEXTIVA
    • 12.2.28 KORE.AI
    • 12.2.29 DYNAMIC YIELD
    • 12.2.30 JIOHAPTIK
    • 12.2.31 ORACLE
    • 12.2.32 AFINITI
  • 12.3 STARTUPS/SMES
    • 12.3.1 KOMMUNICATE
    • 12.3.2 HELP SCOUT
    • 12.3.3 GORGIAS
    • 12.3.4 ATERA
    • 12.3.5 ADA
    • 12.3.6 KUSTOMER
    • 12.3.7 LEVITY
    • 12.3.8 COGNIGY
    • 12.3.9 ENGAGEWARE
    • 12.3.10 NETOMI
    • 12.3.11 LEVELAI
    • 12.3.12 SYBILL AI
    • 12.3.13 ONE AI
    • 12.3.14 BRAINFISH
    • 12.3.15 SENTISUM
    • 12.3.16 BALTO
    • 12.3.17 TOVIE AI
    • 12.3.18 GURU
    • 12.3.19 TIDIO
    • 12.3.20 QUIQ
    • 12.3.21 AIRCALL
    • 12.3.22 ONEREACH.AI
    • 12.3.23 CRESTA
    • 12.3.24 DEEPDESK
    • 12.3.25 FRONT
    • 12.3.26 FULLVIEW
    • 12.3.27 CRESCENDO AI
    • 12.3.28 GRIDSPACE

13 ADJACENT AND RELATED MARKETS

  • 13.1 INTRODUCTION
  • 13.2 CONVERSATIONAL AI MARKET - GLOBAL FORECAST TO 2030
    • 13.2.1 MARKET DEFINITION
    • 13.2.2 MARKET OVERVIEW
      • 13.2.2.1 Conversational AI market, by offering
      • 13.2.2.2 Conversational AI market, by service
      • 13.2.2.3 Conversational AI market, by business function
      • 13.2.2.4 Conversational AI market, by conversational agent type
      • 13.2.2.5 Conversational AI market, by integration mode
      • 13.2.2.6 Conversational AI market, by vertical
      • 13.2.2.7 Conversational AI market, by region
  • 13.3 AI AGENTS MARKET
    • 13.3.1 MARKET DEFINITION
    • 13.3.2 MARKET OVERVIEW
      • 13.3.2.1 AI agents market, by agent system
      • 13.3.2.2 AI agents market, by product type
      • 13.3.2.3 AI agents market, by agent role
      • 13.3.2.4 AI agents market, by end user
      • 13.3.2.5 AI agents market, by region

14 APPENDIX

  • 14.1 DISCUSSION GUIDE
  • 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 14.3 CUSTOMIZATION OPTIONS
  • 14.4 RELATED REPORTS
  • 14.5 AUTHOR DETAILS
Show more
Product Code: TC 9313

List of Tables

  • TABLE 1 USD EXCHANGE RATES, 2019-2023
  • TABLE 2 PRIMARY INTERVIEWS
  • TABLE 3 FACTOR ANALYSIS
  • TABLE 4 GLOBAL AI FOR CUSTOMER SERVICE MARKET SIZE AND GROWTH RATE, 2019-2023 (USD MILLION, Y-O-Y %)
  • TABLE 5 GLOBAL AI FOR CUSTOMER SERVICE MARKET SIZE AND GROWTH RATE, 2024-2030 (USD MILLION, Y-O-Y %)
  • TABLE 6 AI FOR CUSTOMER SERVICE MARKET: ECOSYSTEM
  • TABLE 7 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 8 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 9 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 10 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 11 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 12 AI FOR CUSTOMER SERVICE MARKET: IMPACT OF PORTER'S FIVE FORCES
  • TABLE 13 AI FOR CUSTOMER SERVICE MARKET: DETAILED LIST OF CONFERENCES AND EVENTS, 2025-2026
  • TABLE 14 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 PRODUCT TYPES
  • TABLE 15 KEY BUYING CRITERIA FOR TOP 3 PRODUCT TYPES
  • TABLE 16 INDICATIVE PRICING ANALYSIS BY PRODUCT TYPE
  • TABLE 17 INDICATIVE PRICING OF AI FOR CUSTOMER SERVICE, BY PRODUCT TYPE
  • TABLE 18 PATENTS FILED, 2014-2024
  • TABLE 19 AI FOR CUSTOMER SERVICE MARKET: LIST OF PATENTS GRANTED, 2023-2024
  • TABLE 20 AI FOR CUSTOMER SERVICE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 21 AI FOR CUSTOMER SERVICE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 22 BFSI: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 23 BFSI: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 24 MEDIA & ENTERTAINMENT: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 25 MEDIA & ENTERTAINMENT: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 26 TELECOMMUNICATIONS: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 27 TELECOMMUNICATIONS: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 28 GOVERNMENT & PUBLIC SECTOR: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 29 GOVERNMENT & PUBLIC SECTOR: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 30 HEALTHCARE & LIFE SCIENCES: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 31 HEALTHCARE & LIFE SCIENCES: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 32 MANUFACTURING: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 33 MANUFACTURING: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 34 RETAIL & E-COMMERCE: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 35 RETAIL & E-COMMERCE: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 36 TECHNOLOGY & SOFTWARE: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 37 TECHNOLOGY & SOFTWARE: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 38 TRAVEL & HOSPITALITY: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 39 TRAVEL & HOSPITALITY: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 40 TRANSPORTATION & LOGISTICS: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 41 TRANSPORTATION & LOGISTICS: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 42 OTHER END USERS: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 43 OTHER END USERS: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 44 AI FOR CUSTOMER SERVICE MARKET, BY PRODUCT BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 45 AI FOR CUSTOMER SERVICE MARKET, BY PRODUCT BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 46 CHATBOT AND VIRTUAL ASSISTANTS: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 47 CHATBOT AND VIRTUAL ASSISTANTS: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 48 AI-DRIVEN TICKETING SYSTEMS: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 49 AI-DRIVEN TICKETING SYSTEMS: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 50 SENTIMENT AND FEEDBACK ANALYSIS TOOLS: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 51 SENTIMENT AND FEEDBACK ANALYSIS TOOLS: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 52 RECOMMENDATION SYSTEMS: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 53 RECOMMENDATION SYSTEMS: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 54 VISUAL AND DIAGNOSTIC TOOLS: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 55 VISUAL AND DIAGNOSTIC TOOLS: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 56 WORKFLOW AUTOMATION: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 57 WORKFLOW AUTOMATION: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 58 CONTENT MANAGEMENT: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 59 CONTENT MANAGEMENT: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 60 AI AGENTS: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 61 AI AGENTS: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 62 OTHER PRODUCT TYPES: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 63 OTHER PRODUCT TYPES: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 64 AI FOR CUSTOMER SERVICE MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
  • TABLE 65 AI FOR CUSTOMER SERVICE MARKET, BY DEPLOYMENT MODE, 2024-2030 (USD MILLION)
  • TABLE 66 CLOUD: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 67 CLOUD: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 68 ON-PREMISES: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 69 ON-PREMISES: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 70 AI FOR CUSTOMER SERVICE MARKET, BY CUSTOMER SERVICE DELIVERY MODE, 2019-2023 (USD MILLION)
  • TABLE 71 AI FOR CUSTOMER SERVICE MARKET, BY CUSTOMER SERVICE DELIVERY MODE, 2024-2030 (USD MILLION)
  • TABLE 72 SELF-SERVICE: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 73 SELF-SERVICE: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 74 AGENT AUGMENTED: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 75 AGENT AUGMENTED: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 76 BACKEND OPERATIONS AUTOMATION: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 77 BACKEND OPERATIONS AUTOMATION: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 78 AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 79 AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 80 PRE-SALES: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 81 PRE-SALES: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 82 POST-SALES: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 83 POST-SALES: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 84 AI FOR CUSTOMER SERVICE MARKET, BY TECHNOLOGY, 2019-2023 (USD MILLION)
  • TABLE 85 AI FOR CUSTOMER SERVICE MARKET, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 86 GENERATIVE AI: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 87 GENERATIVE AI: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 88 OTHER AI: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 89 OTHER AI: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 90 AI FOR CUSTOMER SERVICE MARKET, BY CUSTOMER INTERACTION CHANNEL, 2019-2023 (USD MILLION)
  • TABLE 91 AI FOR CUSTOMER SERVICE MARKET, BY CUSTOMER INTERACTION CHANNEL 2024-2030 (USD MILLION)
  • TABLE 92 TEXT AND EMAIL: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 93 TEXT AND EMAIL: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 94 VOICE: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 95 VOICE: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 96 VIDEO/VISUAL: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 97 VIDEO/VISUAL: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 98 OMNICHANNEL: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 99 OMNICHANNEL: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 100 AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 101 AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 102 NORTH AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY PRODUCT TYPE, 2019-2023 (USD MILLION)
  • TABLE 103 NORTH AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY PRODUCT TYPE, 2024-2030 (USD MILLION)
  • TABLE 104 NORTH AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
  • TABLE 105 NORTH AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY DEPLOYMENT MODE, 2024-2030 (USD MILLION)
  • TABLE 106 NORTH AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY CUSTOMER SERVICE DELIVERY MODE, 2019-2023 (USD MILLION)
  • TABLE 107 NORTH AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY CUSTOMER SERVICE DELIVERY MODE, 2024-2030 (USD MILLION)
  • TABLE 108 NORTH AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 109 NORTH AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 110 NORTH AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY TECHNOLOGY, 2019-2023 (USD MILLION)
  • TABLE 111 NORTH AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 112 NORTH AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY CUSTOMER INTERACTION CHANNEL, 2019-2023 (USD MILLION)
  • TABLE 113 NORTH AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY CUSTOMER INTERACTION CHANNEL, 2024-2030 (USD MILLION)
  • TABLE 114 NORTH AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 115 NORTH AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 116 NORTH AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 117 NORTH AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 118 US: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 119 US: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 120 CANADA: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 121 CANADA: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 122 EUROPE: AI FOR CUSTOMER SERVICE MARKET, BY PRODUCT TYPE, 2019-2023 (USD MILLION)
  • TABLE 123 EUROPE: AI FOR CUSTOMER SERVICE MARKET, BY PRODUCT TYPE, 2024-2030 (USD MILLION)
  • TABLE 124 EUROPE: AI FOR CUSTOMER SERVICE MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
  • TABLE 125 EUROPE: AI FOR CUSTOMER SERVICE MARKET, BY DEPLOYMENT MODE, 2024-2030 (USD MILLION)
  • TABLE 126 EUROPE: AI FOR CUSTOMER SERVICE MARKET, BY CUSTOMER SERVICE DELIVERY MODE, 2019-2023 (USD MILLION)
  • TABLE 127 EUROPE: AI FOR CUSTOMER SERVICE MARKET, BY CUSTOMER SERVICE DELIVERY MODE, 2024-2030 (USD MILLION)
  • TABLE 128 EUROPE: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 129 EUROPE: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 130 EUROPE: AI FOR CUSTOMER SERVICE MARKET, BY TECHNOLOGY, 2019-2023 (USD MILLION)
  • TABLE 131 EUROPE: AI FOR CUSTOMER SERVICE MARKET, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 132 EUROPE: AI FOR CUSTOMER SERVICE MARKET, BY CUSTOMER INTERACTION CHANNEL, 2019-2023 (USD MILLION)
  • TABLE 133 EUROPE: AI FOR CUSTOMER SERVICE MARKET, BY CUSTOMER INTERACTION CHANNEL, 2024-2030 (USD MILLION)
  • TABLE 134 EUROPE: AI FOR CUSTOMER SERVICE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 135 EUROPE: AI FOR CUSTOMER SERVICE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 136 EUROPE: AI FOR CUSTOMER SERVICE MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 137 EUROPE: AI FOR CUSTOMER SERVICE MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 138 UK: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 139 UK: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 140 GERMANY: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 141 GERMANY: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 142 FRANCE: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 143 FRANCE: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 144 ITALY: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 145 ITALY: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 146 SPAIN: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 147 SPAIN: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 148 REST OF EUROPE: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 149 REST OF EUROPE: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 150 ASIA PACIFIC: AI FOR CUSTOMER SERVICE MARKET, BY PRODUCT TYPE, 2019-2023 (USD MILLION)
  • TABLE 151 ASIA PACIFIC: AI FOR CUSTOMER SERVICE MARKET, BY PRODUCT TYPE, 2024-2030 (USD MILLION)
  • TABLE 152 ASIA PACIFIC: AI FOR CUSTOMER SERVICE MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
  • TABLE 153 ASIA PACIFIC: AI FOR CUSTOMER SERVICE MARKET, BY DEPLOYMENT MODE, 2024-2030 (USD MILLION)
  • TABLE 154 ASIA PACIFIC: AI FOR CUSTOMER SERVICE MARKET, BY CUSTOMER SERVICE DELIVERY MODE, 2019-2023 (USD MILLION)
  • TABLE 155 ASIA PACIFIC: AI FOR CUSTOMER SERVICE MARKET, BY CUSTOMER SERVICE DELIVERY MODE, 2024-2030 (USD MILLION)
  • TABLE 156 ASIA PACIFIC: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 157 ASIA PACIFIC: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 158 ASIA PACIFIC: AI FOR CUSTOMER SERVICE MARKET, BY TECHNOLOGY, 2019-2023 (USD MILLION)
  • TABLE 159 ASIA PACIFIC: AI FOR CUSTOMER SERVICE MARKET, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 160 ASIA PACIFIC: AI FOR CUSTOMER SERVICE MARKET, BY CUSTOMER INTERACTION CHANNEL, 2019-2023 (USD MILLION)
  • TABLE 161 ASIA PACIFIC: AI FOR CUSTOMER SERVICE MARKET, BY CUSTOMER INTERACTION CHANNEL, 2024-2030 (USD MILLION)
  • TABLE 162 ASIA PACIFIC: AI FOR CUSTOMER SERVICE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 163 ASIA PACIFIC: AI FOR CUSTOMER SERVICE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 164 ASIA PACIFIC: AI FOR CUSTOMER SERVICE MARKET, BY COUNTRY/REGION, 2019-2023 (USD MILLION)
  • TABLE 165 ASIA PACIFIC: AI FOR CUSTOMER SERVICE MARKET, BY COUNTRY/REGION, 2024-2030 (USD MILLION)
  • TABLE 166 CHINA: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 167 CHINA: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 168 JAPAN: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 169 JAPAN: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 170 INDIA: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 171 INDIA: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 172 SOUTH KOREA: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 173 SOUTH KOREA: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 174 AUSTRALIA & NEW ZEALAND: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 175 AUSTRALIA & NEW ZEALAND: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 176 ASEAN: AI FOR CUSTOMER SERVICE MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 177 ASEAN: AI FOR CUSTOMER SERVICE MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 178 ASEAN: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 179 ASEAN: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 180 REST OF ASIA PACIFIC: AI FOR CUSTOMER SERVICE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 181 REST OF ASIA PACIFIC: AI FOR CUSTOMER SERVICE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 182 MIDDLE EAST & AFRICA: AI FOR CUSTOMER SERVICE MARKET, BY PRODUCT TYPE, 2019-2023 (USD MILLION)
  • TABLE 183 MIDDLE EAST & AFRICA: AI FOR CUSTOMER SERVICE MARKET, BY PRODUCT TYPE, 2024-2030 (USD MILLION)
  • TABLE 184 MIDDLE EAST & AFRICA: AI FOR CUSTOMER SERVICE MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
  • TABLE 185 MIDDLE EAST & AFRICA: AI FOR CUSTOMER SERVICE MARKET, BY DEPLOYMENT MODE, 2024-2030 (USD MILLION)
  • TABLE 186 MIDDLE EAST & AFRICA: AI FOR CUSTOMER SERVICE MARKET, BY CUSTOMER SERVICE DELIVERY MODE, 2019-2023 (USD MILLION)
  • TABLE 187 MIDDLE EAST & AFRICA: AI FOR CUSTOMER SERVICE MARKET, BY CUSTOMER SERVICE DELIVERY MODE, 2024-2030 (USD MILLION)
  • TABLE 188 MIDDLE EAST & AFRICA: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 189 MIDDLE EAST & AFRICA: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 190 MIDDLE EAST & AFRICA: AI FOR CUSTOMER SERVICE MARKET, BY TECHNOLOGY, 2019-2023 (USD MILLION)
  • TABLE 191 MIDDLE EAST & AFRICA: AI FOR CUSTOMER SERVICE MARKET, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 192 MIDDLE EAST & AFRICA: AI FOR CUSTOMER SERVICE MARKET, BY CUSTOMER INTERACTION CHANNEL, 2019-2023 (USD MILLION)
  • TABLE 193 MIDDLE EAST & AFRICA: AI FOR CUSTOMER SERVICE MARKET, BY CUSTOMER INTERACTION CHANNEL, 2024-2030 (USD MILLION)
  • TABLE 194 MIDDLE EAST & AFRICA: AI FOR CUSTOMER SERVICE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 195 MIDDLE EAST & AFRICA: AI FOR CUSTOMER SERVICE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 196 MIDDLE EAST & AFRICA: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 197 MIDDLE EAST & AFRICA: AI FOR CUSTOMER SERVICE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 198 MIDDLE EAST: AI FOR CUSTOMER SERVICE MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 199 MIDDLE EAST: AI FOR CUSTOMER SERVICE MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 200 KSA: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 201 KSA: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 202 UAE: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 203 UAE: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 204 BAHRAIN: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 205 BAHRAIN: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 206 KUWAIT: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 207 KUWAIT: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 208 REST OF MIDDLE EAST: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 209 REST OF MIDDLE EAST: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 210 AFRICA: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 211 AFRICA: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 212 LATIN AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY PRODUCT TYPE, 2019-2023 (USD MILLION)
  • TABLE 213 LATIN AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY PRODUCT TYPE, 2024-2030 (USD MILLION)
  • TABLE 214 LATIN AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
  • TABLE 215 LATIN AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY DEPLOYMENT MODE, 2024-2030 (USD MILLION)
  • TABLE 216 LATIN AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY CUSTOMER SERVICE DELIVERY MODE, 2019-2023 (USD MILLION)
  • TABLE 217 LATIN AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY CUSTOMER SERVICE DELIVERY MODE, 2024-2030 (USD MILLION)
  • TABLE 218 LATIN AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 219 LATIN AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 220 LATIN AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY TECHNOLOGY, 2019-2023 (USD MILLION)
  • TABLE 221 LATIN AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 222 LATIN AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY CUSTOMER INTERACTION CHANNEL, 2019-2023 (USD MILLION)
  • TABLE 223 LATIN AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY CUSTOMER INTERACTION CHANNEL, 2024-2030 (USD MILLION)
  • TABLE 224 LATIN AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 225 LATIN AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 226 LATIN AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 227 LATIN AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 228 BRAZIL: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 229 BRAZIL: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 230 MEXICO: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 231 MEXICO: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 232 ARGENTINA: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 233 ARGENTINA: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 234 REST OF LATIN AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2019-2023 (USD MILLION)
  • TABLE 235 REST OF LATIN AMERICA: AI FOR CUSTOMER SERVICE MARKET, BY FUNCTIONAL AREA, 2024-2030 (USD MILLION)
  • TABLE 236 AI FOR CUSTOMER SERVICE MARKET: OVERVIEW OF STRATEGIES ADOPTED BY KEY VENDORS, 2020-2024
  • TABLE 237 AI FOR CUSTOMER SERVICE MARKET: DEGREE OF COMPETITION, 2023
  • TABLE 238 AI FOR CUSTOMER SERVICE MARKET: REGION FOOTPRINT
  • TABLE 239 AI FOR CUSTOMER SERVICE MARKET: PRODUCT TYPE FOOTPRINT
  • TABLE 240 AI FOR CUSTOMER SERVICE MARKET: CUSTOMER INTERACTION CHANNEL FOOTPRINT
  • TABLE 241 AI FOR CUSTOMER SERVICE MARKET: END USER FOOTPRINT
  • TABLE 242 AI FOR CUSTOMER SERVICE MARKET: DETAILED LIST OF KEY STARTUPS/SMES
  • TABLE 243 AI FOR CUSTOMER SERVICE MARKET: COMPETITIVE BENCHMARKING OF STARTUPS/SMES
  • TABLE 244 AI FOR CUSTOMER SERVICE MARKET: PRODUCT LAUNCHES & ENHANCEMENTS, JANUARY 2021-JANUARY 2025
  • TABLE 245 AI FOR CUSTOMER SERVICE MARKET: DEALS, JANUARY 2021-JANUARY 2025
  • TABLE 246 MICROSOFT: COMPANY OVERVIEW
  • TABLE 247 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 248 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 249 MICROSOFT: DEALS
  • TABLE 250 IBM: COMPANY OVERVIEW
  • TABLE 251 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 252 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 253 IBM: DEALS
  • TABLE 254 GOOGLE: COMPANY OVERVIEW
  • TABLE 255 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 256 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 257 GOOGLE: DEALS
  • TABLE 258 AWS: COMPANY OVERVIEW
  • TABLE 259 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 260 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 261 AWS: DEALS
  • TABLE 262 SALESFORCE: COMPANY OVERVIEW
  • TABLE 263 SALESFORCE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 264 SALESFORCE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 265 ATLASSIAN: COMPANY OVERVIEW
  • TABLE 266 ATLASSIAN: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 267 ATLASSIAN: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 268 SERVICENOW: COMPANY OVERVIEW
  • TABLE 269 SERVICENOW: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 270 SERVICENOW: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 271 ZENDESK: COMPANY OVERVIEW
  • TABLE 272 ZENDESK: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 273 ZENDESK: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 274 ZENDESK: DEALS
  • TABLE 275 SAP: COMPANY OVERVIEW
  • TABLE 276 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 277 SAP: DEALS
  • TABLE 278 SPRINKLR: COMPANY OVERVIEW
  • TABLE 279 SPRINKLR: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 280 SPRINKLR: DEALS
  • TABLE 281 OPENAI: COMPANY OVERVIEW
  • TABLE 282 OPENAI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 283 OPENAI: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 284 OPENAI: DEALS
  • TABLE 285 CONVERSATIONAL AI SOFTWARE MARKET, BY TECHNOLOGY, 2019-2023 (USD MILLION)
  • TABLE 286 CONVERSATIONAL AI SOFTWARE MARKET, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 287 CONVERSATIONAL AI MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 288 CONVERSATIONAL AI MARKET, BY SERVICE, 2024-2030 (USD MILLION)
  • TABLE 289 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD MILLION)
  • TABLE 290 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2024-2030 (USD MILLION)
  • TABLE 291 CONVERSATIONAL AI MARKET, BY CONVERSATIONAL AGENT TYPE, 2019-2023 (USD MILLION)
  • TABLE 292 CONVERSATIONAL AI MARKET, BY CONVERSATIONAL AGENT TYPE, 2024-2030 (USD MILLION)
  • TABLE 293 CONVERSATIONAL AI MARKET, BY INTEGRATION MODE, 2019-2023 (USD MILLION)
  • TABLE 294 CONVERSATIONAL AI MARKET, BY INTEGRATION MODE, 2024-2030 (USD MILLION)
  • TABLE 295 CONVERSATIONAL AI MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
  • TABLE 296 CONVERSATIONAL AI MARKET, BY VERTICAL, 2024-2030 (USD MILLION)
  • TABLE 297 CONVERSATIONAL AI MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 298 CONVERSATIONAL AI MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 299 AI AGENTS MARKET, BY AGENT SYSTEM, 2019-2023 (USD MILLION)
  • TABLE 300 AI AGENTS MARKET, BY AGENT SYSTEM, 2024-2030 (USD MILLION)
  • TABLE 301 AI AGENTS MARKET, BY PRODUCT TYPE, 2019-2023 (USD MILLION)
  • TABLE 302 AI AGENTS MARKET, BY PRODUCT TYPE, 2024-2030 (USD MILLION)
  • TABLE 303 AI AGENTS MARKET, BY AGENT ROLE, 2019-2023 (USD MILLION)
  • TABLE 304 AI AGENTS MARKET, BY AGENT ROLE, 2024-2030 (USD MILLION)
  • TABLE 305 AI AGENTS MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 306 AI AGENTS MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 307 AI AGENTS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 308 AI AGENTS MARKET, BY REGION, 2024-2030 (USD MILLION)

List of Figures

  • FIGURE 1 AI FOR CUSTOMER SERVICE MARKET: RESEARCH DESIGN
  • FIGURE 2 DATA TRIANGULATION
  • FIGURE 3 AI FOR CUSTOMER SERVICE MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
  • FIGURE 4 APPROACH 1, BOTTOM-UP (SUPPLY-SIDE): REVENUE FROM SOFTWARE/SERVICES OF AI FOR CUSTOMER SERVICE MARKET
  • FIGURE 5 APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOFTWARE/SERVICES OF AI FOR CUSTOMER SERVICE MARKET
  • FIGURE 6 APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOFTWARE/SERVICES OF AI FOR CUSTOMER SERVICE MARKET
  • FIGURE 7 APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF AI FOR CUSTOMER SERVICE THROUGH OVERALL AI FOR CUSTOMER SERVICE SOLUTIONS SPENDING
  • FIGURE 8 CHATBOT AND VIRTUAL ASSISTANT SEGMENT TO DOMINATE MARKET IN 2024
  • FIGURE 9 CLOUD DEPLOYMENT MODE TO HOLD LARGER MARKET SHARE IN 2024
  • FIGURE 10 SELF-SERVICE CUSTOMER DELIVERY MODE SEGMENT TO LEAD MARKET IN 2024
  • FIGURE 11 POST-SALES FUNCTIONAL AREA TO DOMINATE AI FOR CUSTOMER SERVICE MARKET IN 2024
  • FIGURE 12 OTHER AI TECHNOLOGIES TO HOLD LARGER MARKET SHARE IN 2024
  • FIGURE 13 TEXT & EMAIL CUSTOMER INTERACTION CHANNEL TO LEAD AI FOR CUSTOMER SERVICE MARKET IN 2024
  • FIGURE 14 BFSI END USER TO BE LARGEST MARKET IN 2024
  • FIGURE 15 ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 16 IMPROVED CUSTOMER ENGAGEMENT WITH OMNI-CHANNEL SELF-SERVICE OPTIONS TO DRIVE MARKET
  • FIGURE 17 AGENT AUGMENTED SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 18 CLOUD AND POST-SALES SEGMENT TO HOLD LARGEST MARKET SHARES IN NORTH AMERICA IN 2024
  • FIGURE 19 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2024
  • FIGURE 20 AI FOR CUSTOMER SERVICE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 21 EVOLUTION OF AI FOR CUSTOMER SERVICE MARKET
  • FIGURE 22 AI FOR CUSTOMER SERVICE MARKET ECOSYSTEM: KEY PLAYERS
  • FIGURE 23 AI FOR CUSTOMER SERVICE MARKET: SUPPLY CHAIN ANALYSIS
  • FIGURE 24 PORTER'S FIVE FORCES ANALYSIS
  • FIGURE 25 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 PRODUCT TYPES
  • FIGURE 26 KEY BUYING CRITERIA FOR TOP 3 PRODUCT TYPES
  • FIGURE 27 INDICATIVE PRICING ANALYSIS, BY SOFTWARE TYPE
  • FIGURE 28 NUMBER OF PATENTS GRANTED TO VENDORS IN LAST 10 YEARS
  • FIGURE 29 REGIONAL ANALYSIS OF PATENTS GRANTED, 2014-2024
  • FIGURE 30 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • FIGURE 31 AI FOR CUSTOMER SERVICE MARKET: INVESTMENT LANDSCAPE AND FUNDING SCENARIO (USD MILLION AND NUMBER OF FUNDING ROUNDS)
  • FIGURE 32 MARKET POTENTIAL OF GENERATIVE AI IN ENHANCING AI FOR CUSTOMER SERVICE ACROSS KEY END USERS
  • FIGURE 33 HEALTHCARE & LIFE SCIENCES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 34 AI AGENTS SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 35 ON-PREMISES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 36 AGENT AUGMENTED SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 37 PRE-SALES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 38 GENERATIVE AI SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 39 VIDEO/VISUAL SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 40 INDIA TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 41 ASIA PACIFIC TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 42 NORTH AMERICA: AI FOR CUSTOMER SERVICE MARKET SNAPSHOT
  • FIGURE 43 ASIA PACIFIC: AI FOR CUSTOMER SERVICE MARKET SNAPSHOT
  • FIGURE 44 AI FOR CUSTOMER SERVICE MARKET: REVENUE ANALYSIS OF FIVE KEY PLAYERS, 2019-2023
  • FIGURE 45 SHARE ANALYSIS OF LEADING COMPANIES IN AI FOR CUSTOMER SERVICE MARKET, 2023
  • FIGURE 46 PRODUCT COMPARATIVE ANALYSIS, BY PRODUCT TYPE
  • FIGURE 47 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
  • FIGURE 48 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
  • FIGURE 49 AI FOR CUSTOMER SERVICE MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2023
  • FIGURE 50 AI FOR CUSTOMER SERVICE MARKET: COMPANY FOOTPRINT
  • FIGURE 51 AI FOR CUSTOMER SERVICE MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2023
  • FIGURE 52 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 53 IBM: COMPANY SNAPSHOT
  • FIGURE 54 GOOGLE: COMPANY SNAPSHOT
  • FIGURE 55 AWS: COMPANY SNAPSHOT
  • FIGURE 56 SALESFORCE: COMPANY SNAPSHOT
  • FIGURE 57 ATLASSIAN: COMPANY SNAPSHOT
  • FIGURE 58 SERVICENOW: COMPANY SNAPSHOT
  • FIGURE 59 SPRINKLR: COMPANY SNAPSHOT
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